Machine Learning Engineer

Job Description

As a Machine Learning Engineer, you will design and implement machine learning models to solve complex problems. You'll work alongside a talented team of data scientists and software engineers to develop innovative AI solutions that drive our client's success. This role requires a strong foundation in machine learning algorithms, programming skills, and the ability to collaborate effectively with cross-functional teams.

Responsibilities

• Architect machine learning solutions for scalable applications.
• Collaborate with cross-functional teams to gather requirements for new projects.
• Conduct experiments to test different modeling approaches and validate findings.
• Implement best practices for data governance and model deployment.
• Contribute to the development of open-source projects and community initiatives.
• Engage with clients to understand their needs and present solutions.

Requirements

Education

• Bachelor's degree in Data Science, Computer Science, or a related field
• Master's degree in Machine Learning or Data Science is a plus

Experience

• 3+ years of experience in machine learning, AI or data analytics

Technical Skills

• R
• Keras

Soft Skills

• Teamwork
• Problem-solving

Certifications

• Certified Data Scientist
• Google Professional Machine Learning Engineer

Languages

• English: Fluent

Advantageous

• Familiarity with Docker and containers: Experience with containerization for deploying ML applications.
• Experience in interdisciplinary teams: Ability to collaborate across different teams for complex problem-solving.

Benefits

• Health, dental, and vision insurance
• Competitive salary package
• Remote work flexibility
• Ongoing training and mentorship
• Yearly team retreats and outings

Company Culture

• Continuous Learning: We promote a culture of learning and professional growth within our teams.
• Work-Life Balance: We believe in maintaining a healthy work-life balance and support our team's well-being.
• Community Engagement: We actively engage with our local community through various outreach initiatives.